CN117098282B - Big data management system and method based on intelligent park - Google Patents
Big data management system and method based on intelligent park Download PDFInfo
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- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
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- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
- H05B47/12—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings by detecting audible sound
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The invention relates to the technical field of data processing, in particular to a big data management system and method based on an intelligent park, comprising the following steps: the control terminal is a main control terminal of the system and is used for sending out an execution command; the receiving module is used for receiving real-time images of all areas in the intelligent park; the sensing module is used for receiving real-time sound sources influencing the deployment position of the source camera by the real-time induction receiving module; the identification module is used for acquiring the real-time image received by the receiving module and identifying a dynamic target in the image; the intelligent park intelligent control system can collect image data of each area in the intelligent park, capture dynamic targets in the image data based on the collected image data, and assist the lighting equipment in the intelligent park to operate through the dynamic target capturing result, so that the lighting equipment can be controlled according to the capturing result of the dynamic targets in the image data while being based on sound control, thereby completely getting rid of manual control of the lighting equipment, and meeting the energy-saving requirement of the intelligent park.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a big data management system and method based on an intelligent park.
Background
The intelligent park refers to a standard building or building group which is generally provided with water, power, air, communication, roads, warehouse and other complete supporting facilities, has reasonable layout and can meet the requirements of production and scientific experiments in a specific industry, and comprises an industrial park, a logistics park, an urban industrial park, a scientific park, a creative park and the like.
However, the construction of present wisdom garden all is in tending to energy-conserving direction development, to the lighting apparatus of wisdom garden, for realizing the energy-conservation of wisdom garden, often use a large amount of sound sensitivity, photosensitive switch control lighting apparatus operation to reach energy-conserving purpose, but this kind of control mode still needs certain manual control, and intelligent only is limited to "sound sensitivity, photosensitive", can't intelligent adaptability service wisdom garden in the staff illumination demand of activity.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a big data management system and a big data management method based on an intelligent park, which solve the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
in a first aspect, a big data management system based on an intelligent campus, comprising:
the control terminal is a main control terminal of the system and is used for sending out an execution command;
the receiving module is used for receiving real-time images of all areas in the intelligent park;
the sensing module is used for receiving the real-time sound source of the deployment position of the image source camera by the real-time induction receiving module;
the identification module is used for acquiring the real-time image received by the receiving module and identifying a dynamic target in the image;
the control module is used for controlling the on and off of the lighting equipment in each area in the intelligent park;
the learning module is used for receiving the control record of the opening and closing of the lighting equipment controlled by the control module, and replacing the control module to control the opening and closing of the lighting equipment based on the opening and closing operation record of the lighting equipment.
Still further, the receiving module is provided with a sub-module at a lower stage, including:
the analysis unit is used for analyzing the importance degree of the image received by the receiving module;
the optimizing unit is used for receiving the image importance degree analysis result in the analyzing unit, generating an image optimizing queue based on the image importance degree analysis result, and sequentially optimizing the images through the image optimizing queue;
the intelligent park comprises a receiving module, a wireless network and a camera, wherein the cameras are arranged in public areas of the intelligent park, and real-time images received by the receiving module are fed back to the receiving module by the wireless network after being collected by the camera.
Further, the analysis logic of the importance level of the image received by the receiving module in the analysis unit is expressed as:wherein: />The importance degree of the image; />The relevance of the image source camera to the park access path is shown; />The total amount of cameras deployed for the campus; />The size of the gap in the park where the image source camera is located; />The frequency of use of the video source camera in the park; />The number of people currently existing in the park; />Opening time for a park; wherein the number of people currently present in the campus +.>Monitoring and metering are carried out through the gate of the park entrance.
Furthermore, in the operation stage of the optimizing unit, the image importance degree analysis result is received, a descending queue is generated based on the image importance degree, the descending queue is applied to sequentially optimize the images, the image optimizing process is performed, the optimized image output is completed through the following formula: wherein:the output result of the image i is the 1 st optimization processing;is the original image; />The image set is to be optimized; />Optimizing the resolution for the image; />The switching time of the image code rate;the influence weight is switched for the image code rate; />The image blocking time is; />The image is stuck to influence the weight; />The image delay influence weight is given; />Is the image delay time; the image is optimized through the method, and when the image is optimized, the image is subjected to optimization logic that the closer the image is to the front position of the queue, the more the image optimization times are, and the image optimization times comprise: 0 times, 1 time, 2 times, 3 times.
Still further, the sensing module and the identification module are provided with sub-modules at a lower level, including:
the logic unit is used for setting the switching logic of the lighting equipment and the switching condition of the switching logic:
wherein, lighting apparatus switching logic and switching logic switching condition are through system end user manual setting, and lighting apparatus switching logic includes: response time and opening duration, wherein the switching logic of the lighting equipment is respectively set based on the sensing module and the identification module, and the switching conditions of the switching logic of the lighting equipment comprise: response times and opening time.
Further, the sensing module senses the sound source stage, the response time set by the application logic unit triggers the control module to operate after sensing the sound source, so that the control module controls the lighting equipment to be started, the lighting equipment is continuously operated according to the starting time set by the logic unit, the lighting equipment is closed after the starting time arrives, the control module controls the lighting equipment to operate based on the continuous operation times of the identification module when the response times of the switching logic set in the logic unit are reached, and the lighting equipment is continuously operated based on the starting time in the switching logic of the lighting equipment.
Furthermore, the sensing modules are arranged in association with the lighting devices and the cameras, so that each lighting device is provided with a group of sensing modules and cameras.
Furthermore, in the operation stage of the learning module, the control record of the lighting equipment controlled by the control module is continuously received, the lighting equipment which is operated based on the switching logic of the lighting equipment and then is operated by the switching logic switching condition is captured in each lighting equipment, and the lighting equipment is immediately operated by the switching logic switching condition when the captured lighting equipment is operated by the switching logic of the lighting equipment next time.
Furthermore, the control terminal is electrically connected with a receiving module through a medium, the lower level of the receiving module is electrically connected with an analysis unit and an optimization unit through the medium, the receiving module is electrically connected with a sensing module and an identification module through the medium, the lower level of the sensing module and the identification module is electrically connected with a logic unit through the medium, the identification module is electrically connected with a control module through the medium, the control module is electrically connected with the logic unit through the medium, and the control module is electrically connected with a learning module through the medium.
In a second aspect, a big data management method based on an intelligent park includes the steps of:
step 1: collecting real-time images of all areas in the intelligent park;
step 11: an image optimization stage;
step 111: a dynamic target capturing stage;
step 1111: setting the switching logic and switching logic switching condition of the lighting equipment;
step 2: sensing real-time sound source audio of an image source area, and controlling lighting equipment to operate based on the sensed sound source audio;
step 3: capturing a dynamic target in the acquired image data, and continuously judging whether the dynamic target is in the image data;
step 31: setting the number of continuous judgment times;
step 41: step 3, if the judgment result is yes, the lighting equipment is switched on and off by the application of the logic switching condition;
step 42: step 3, judging whether the result is negative, and applying the switching logic of the lighting equipment;
step 41 is further performed after the step 41 is performed.
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the invention provides a big data management system based on an intelligent park, which can collect image data of each area in the intelligent park in the operation process, capture dynamic targets in the image data based on the collected image data, and assist lighting equipment in the park to operate through dynamic target capturing results, so that the lighting equipment can be controlled according to the capturing results of the dynamic targets in the image data while being based on sound control, thereby thoroughly getting rid of manual control of the lighting equipment and meeting the energy saving requirement of the intelligent park.
The invention provides a big data management method based on an intelligent park, which further maintains the stability of system operation by executing steps in the method, and further perfects the system operation logic in the executing process of the steps of the method, thereby assisting a user to more quickly apply the technical scheme formed by the system and the method.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of a big data management system based on an intelligent park;
FIG. 2 is a flow chart of a big data management method based on an intelligent park;
reference numerals in the drawings represent respectively: 1. a control terminal, a 2 and a receiving module; 21. an analysis unit; 22. an optimizing unit; 3. a sensing module; 4. an identification module; 341. a logic unit; 5. a control module; 6. and a learning module.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1:
the big data management system based on the intelligent park of the embodiment, as shown in fig. 1, includes:
the control terminal 1 is a main control end of the system and is used for sending out an execution command;
the receiving module 2 is used for receiving real-time images of all areas in the intelligent park;
the sensing module 3 is used for receiving the real-time sound source of the deployment position of the image source camera by the real-time induction receiving module 2;
the identification module 4 is used for acquiring the real-time image received by the receiving module 2 and identifying a dynamic target in the image;
the control module 5 is used for controlling the on and off of the lighting equipment in each area in the intelligent park;
the learning module 6 is configured to receive the on and off control record of the lighting device controlled by the control module 5, and replace the control module 5 to control the lighting device to be turned on and off based on the on and off operation record of the lighting device;
the receiving module 2 is provided with a sub-module at a lower stage, including:
an analysis unit 21 for analyzing the importance level of the image received by the receiving module 2;
an optimizing unit 22, configured to receive the image importance degree analysis result in the analyzing unit 21, generate an image optimizing queue based on the image importance degree analysis result, and sequentially optimize the images through the image optimizing queue;
the intelligent park comprises a receiving module 2, a wireless network and a public area, wherein cameras are arranged in the public area of the intelligent park, and the real-time images received by the receiving module 2 are fed back to the receiving module 2 by the wireless network after being collected by the cameras;
the sensing module 3 is provided with the submodule with the recognition module 4 subordinate, includes:
a logic unit 341, configured to set an on-off logic of the lighting device and an on-off logic switching condition:
wherein, lighting apparatus switching logic and switching logic switching condition are through system end user manual setting, and lighting apparatus switching logic includes: response time, turn-on duration, lighting apparatus switching logic is set up respectively based on sensing module 3 and identification module 4, and the switching condition of lighting apparatus switching logic includes: response times and opening time;
the sensing module 3 senses the sound source stage, the response time set by the application logic unit 341 triggers the control module 5 to operate after sensing the sound source, so that the control module 5 controls the lighting equipment to be started, the lighting equipment is continuously operated according to the starting time set by the logic unit 341, the lighting equipment is closed after the starting time is reached, the control module 5 controls the lighting equipment to operate based on the continuous operation times of the identification module 4 when the response times of the switching logic of the lighting equipment set in the logic unit 341 are reached, and the lighting equipment is continuously operated based on the starting time in the switching logic of the lighting equipment; the sensing module 3 is arranged in association with the lighting equipment and the cameras, so that each lighting equipment is provided with a group of sensing modules 3 and cameras; the learning module 6 is used for continuously receiving control records of the lighting equipment controlled by the control module 5, capturing the lighting equipment which is operated based on the switching logic operation of the lighting equipment and then is operated by the switching logic switching condition, and further immediately controlling the lighting equipment to operate by the switching logic switching condition when the captured lighting equipment is operated by the switching logic operation of the lighting equipment next time.
The control terminal 1 is electrically connected with a receiving module 2 through a medium, the lower level of the receiving module 2 is electrically connected with an analysis unit 21 and an optimizing unit 22 through the medium, the receiving module 2 is electrically connected with a sensing module 3 and an identifying module 4 through the medium, the lower level of the sensing module 3 and the identifying module 4 is electrically connected with a logic unit 341 through the medium, the identifying module 4 is electrically connected with a control module 5 through the medium, the control module 5 is electrically connected with the logic unit 341 through the medium, and the control module 5 is electrically connected with a learning module 6 through the medium.
In this embodiment, the control terminal 1 controls the receiving module 2 to operate and receive real-time images of all areas in the intelligent park, the sensing module 3 synchronously senses the real-time sound source of the deployment position of the receiving module 2 for receiving the image source camera, the identifying module 4 further obtains the real-time images received by the receiving module 2, identifies dynamic targets in the images, the control module 5 controls the on and off of the lighting equipment of all areas in the intelligent park, and finally the learning module 6 receives control records of the on and off of the lighting equipment, and replaces the control module 5 to control the on and off of the lighting equipment based on the on and off operation records of the lighting equipment;
the appointed operation logic is provided for the operation of the receiving module 2 through the sub-module arranged at the lower level of the receiving module 2, the stable operation of the receiving module is ensured, and further control logic is provided for the control operation of the sensing module 3 and the identifying module 4 on the control module 5 through the sub-module logic unit 341 arranged at the lower level of the sensing module 3 and the identifying module 4.
Example 2:
on the implementation level, on the basis of embodiment 1, this embodiment further specifically describes a big data management system based on an intelligent park in embodiment 1 with reference to fig. 1:
the analysis logic of the importance level of the image received by the receiving module 2 in the analysis unit 21 is expressed as:wherein: />The importance degree of the image; />The relevance of the image source camera to the park access path is shown; />The total amount of cameras deployed for the campus; />The size of the gap in the park where the image source camera is located; />The frequency of use of the video source camera in the park; />The number of people currently existing in the park; />Opening time for a park; wherein the number of people currently present in the campus +.>Monitoring and metering are carried out through a park entrance gateway;
the optimizing unit 22 receives the analysis result of the importance degree of the image, generates a descending queue based on the importance degree of the image, applies the descending queue to sequentially optimize the image, optimizes the image, and completes the output of the optimized image by the following formula:wherein:the output result of the image i is the 1 st optimization processing; />Is the original image; />The image set is to be optimized;optimizing the resolution for the image; />The switching time of the image code rate; />The influence weight is switched for the image code rate; />The image blocking time is; />The image is stuck to influence the weight; />The image delay influence weight is given; />Is the image delay time; the image is optimized through the method, and when the image is optimized, the image is subjected to optimization logic that the closer the image is to the front position of the queue, the more the image optimization times are, the more the image optimization times comprise: 0 times, 1 time, 2 times, 3 times.
Through the calculation of the formula, operation logic support is further provided for the operation of the receiving module 2.
Example 3
On the implementation level, on the basis of embodiment 1, this embodiment further specifically describes a big data management system based on an intelligent park in embodiment 1 with reference to fig. 2:
a big data management method based on an intelligent park comprises the following steps:
step 1: collecting real-time images of all areas in the intelligent park;
step 11: an image optimization stage;
step 111: a dynamic target capturing stage;
step 1111: setting the switching logic and switching logic switching condition of the lighting equipment;
step 2: sensing real-time sound source audio of an image source area, and controlling lighting equipment to operate based on the sensed sound source audio;
step 3: capturing a dynamic target in the acquired image data, and continuously judging whether the dynamic target is in the image data;
step 31: setting the number of continuous judgment times;
step 41: step 3, if the judgment result is yes, the lighting equipment is switched on and off by the application of the logic switching condition;
step 42: step 3, judging whether the result is negative, and applying the switching logic of the lighting equipment;
step 41 is further performed after the step 41 is performed.
In summary, in the operation process of the system in the above embodiment, image data of each area in the intelligent park can be collected, dynamic targets in the image data can be captured based on the collected image data, and the illumination equipment in the park is assisted to operate through the dynamic target capturing result, so that the illumination equipment can be controlled according to the capturing result of the dynamic targets in the image data while being based on sound control, thereby completely getting rid of manual control of the illumination equipment, and meeting the energy saving requirement of the intelligent park; the method provided by the embodiment further maintains the stability of the system operation, and further perfects the system operation logic in the step execution process of the method, so that a user is assisted, and the technical scheme formed by the system and the method is more quickly applied.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. Big data management system based on wisdom garden, characterized by comprising:
the control terminal (1) is a main control end of the system and is used for sending out an execution command;
the receiving module (2) is used for receiving real-time images of all areas in the intelligent park;
the sensing module (3) is used for receiving the real-time sound source of the deployment position of the image source camera by the real-time induction receiving module (2);
the identification module (4) is used for acquiring the real-time image received by the receiving module (2) and identifying a dynamic target in the image;
the control module (5) is used for controlling the on and off of the lighting equipment in each area in the intelligent park;
the learning module (6) is used for receiving the on and off control records of the lighting equipment controlled by the control module (5), and replacing the control module (5) to control the on and off of the lighting equipment based on the on and off operation records of the lighting equipment;
the receiving module (2) is provided with a sub-module at the lower stage, and comprises:
an analysis unit (21) for analyzing the importance level of the image received by the receiving module (2);
the optimizing unit (22) is used for receiving the image importance degree analysis result in the analyzing unit (21), generating an image optimizing queue based on the image importance degree analysis result, and sequentially optimizing the images through the image optimizing queue;
the intelligent park comprises a receiving module (2), a wireless network and a wireless network, wherein cameras are arranged in public areas of the intelligent park, and real-time images received by the receiving module (2) are fed back to the receiving module (2) after being collected by the cameras;
the analysis logic of the importance degree of the image received by the receiving module (2) in the analysis unit (21) is expressed as follows:wherein: />The importance degree of the image; />The relevance of the image source camera to the park access path is shown; />The total amount of cameras deployed for the campus; />The size of the gap in the park where the image source camera is located; />The frequency of use of the video source camera in the park; />The number of people currently existing in the park; />Opening time for a park; wherein the number of people currently present in the campus +.>Monitoring and metering are carried out through the gate of the park entrance.
2. The big data management system based on the intelligent park according to claim 1, wherein the optimizing unit (22) receives the analysis result of the importance degree of the image, generates a descending queue based on the importance degree of the image, and applies the descending queue to sequentially optimize the image, and the image optimizing process completes the output of the optimized image by the following formula:wherein: />The output result of the image i is the 1 st optimization processing; />Is the original image; />The image set is to be optimized; />Optimizing the resolution for the image; />The switching time of the image code rate; />The influence weight is switched for the image code rate; />The image blocking time is; />The image is stuck to influence the weight; />The image delay influence weight is given; />Is the image delay time;
the image is optimized through the method, and when the image is optimized, the image is subjected to optimization logic that the closer the image is to the front position of the queue, the more the image optimization times are, and the image optimization times comprise: 0 times, 1 time, 2 times, 3 times.
3. The big data management system based on intelligent parks according to claim 1, characterized in that the sensing module (3) and the identification module (4) are provided with sub-modules at a lower level, comprising:
a logic unit (341) for setting the switching logic of the lighting device and the switching logic switching condition:
wherein, lighting apparatus switching logic and switching logic switching condition are through system end user manual setting, and lighting apparatus switching logic includes: response time and opening duration, wherein the switching logic of the lighting equipment is respectively set based on the sensing module (3) and the identification module (4), and the switching conditions of the switching logic of the lighting equipment comprise: response times and opening time.
4. The big data management system based on the intelligent park according to claim 3, wherein the sensing module (3) senses the sound source, the response time set by the application logic unit (341) triggers the control module (5) to operate after sensing the sound source, so that the control module (5) controls the lighting device to be turned on, the lighting device is continuously operated according to the on duration set by the logic unit (341), the lighting device is continuously operated, the control module (5) is turned off after the on duration arrives, and the control module (5) controls the lighting device to operate based on the continuous operation times of the identification module (4) when the response times in the switching condition of the on-off logic set by the logic unit (341) are reached, and the lighting device is continuously operated based on the on duration in the switching condition of the on-off logic of the lighting device.
5. The intelligent park-based big data management system according to claim 1, wherein the sensing modules (3) are disposed in association with lighting devices and cameras, such that each lighting device is disposed with a set of sensing modules (3) and cameras.
6. The big data management system based on the intelligent park according to claim 1, wherein the learning module (6) is used for continuously receiving control records of the lighting devices controlled by the control module (5), capturing the lighting devices which are operated based on the switching logic of the lighting devices and then are operated by the switching logic switching conditions, and further immediately controlling the operation of the lighting devices by the switching logic switching conditions when the captured lighting devices are operated by the switching logic of the lighting devices next time.
7. The big data management system based on the intelligent park according to claim 1, wherein the control terminal (1) is electrically connected with the receiving module (2) through a medium, the lower stage of the receiving module (2) is electrically connected with the analyzing unit (21) and the optimizing unit (22) through a medium, the receiving module (2) is electrically connected with the sensing module (3) and the identifying module (4) through a medium, the lower stage of the sensing module (3) and the identifying module (4) is electrically connected with the logic unit (341) through a medium, the identifying module (4) is electrically connected with the control module (5) through a medium, the control module (5) is electrically connected with the logic unit (341) through a medium, and the control module (5) is electrically connected with the learning module (6) through a medium.
8. A method for managing big data based on an intelligent campus, the method being implemented by the big data management system based on an intelligent campus as claimed in any one of claims 1 to 7, comprising the steps of:
step 1: collecting real-time images of all areas in the intelligent park;
step 11: an image optimization stage;
step 111: a dynamic target capturing stage;
step 1111: setting the switching logic and switching logic switching condition of the lighting equipment;
step 2: sensing real-time sound source audio of an image source area, and controlling lighting equipment to operate based on the sensed sound source audio;
step 3: capturing a dynamic target in the acquired image data, and continuously judging whether the dynamic target is in the image data;
step 31: setting the number of continuous judgment times;
step 41: step 3, if the judgment result is yes, the lighting equipment is switched on and off by the application of the logic switching condition;
step 42: step 3, judging whether the result is negative, and applying the switching logic of the lighting equipment;
step 41 is further performed after the step 41 is performed.
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